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| Criterion |  Agile Bucket System |  Product Discovery Hypothesis Prioritization Canvas |  Agile Planning Poker |  Product Discovery Dual-Track Agile |
|---|---|---|---|---|
Purposedifferent | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 60-90 min | 2-5 min je Item | Laufend, Wochen bis Monate |
Participantsdifferent | 3-12 | 3-8 | 3-9 | 4-10 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Prioritization Canvas, Hypothesis Backlog | Relative Estimates, Assumption Notes, Split Candidates | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories |
Tagsno overlap | EstimationBacklogRelative sizing | ExperimentsPrioritizationDiscoveryHypothesis | EstimationAgileRelative sizingTeam | AgileDiscoveryDelivery |